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Data Envelopment Analysis (Productivity)×تحلیل پوششی داده‌ها (مدل CCR) برای رتبه‌بندی مبتنی بر کارایی×
حوزهاقتصادتصمیم‌گیری
خانوادهProcess / pipelineMCDM
سال پیدایش19781978
پدیدآورCharnes, Cooper & Rhodes (building on Farrell 1957)Charnes, A., Cooper, W. W., Rhodes, E.
نوعNonparametric linear-programming efficiency frontierNon-parametric efficiency frontier (CCR model)
منبع بنیادینCharnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429–444. DOI ↗Charnes, A., Cooper, W. W., Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research DOI ↗
نام‌های دیگرDEA Efficiency Analysis, Nonparametric Frontier Efficiency, CCR/BCC Efficiency Measurement, Production Frontier DEA
مرتبط50
خلاصهData envelopment analysis (DEA) is a nonparametric, linear-programming technique for measuring the relative productive efficiency of comparable units — firms, plants, hospitals, schools, bank branches — that convert multiple inputs into multiple outputs. Introduced by Charnes, Cooper, and Rhodes in 1978 and rooted in Farrell's 1957 work on efficiency measurement, it constructs a best-practice frontier that envelops the observed data and scores each unit by its distance to that frontier, requiring no assumed functional form for the production technology.DEA (Data Envelopment Analysis (CCR model) for efficiency-based ranking) is a dea multi-criteria decision-making (MCDM) method introduced by Charnes, A., Cooper, W. W., Rhodes, E. in 1978. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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ScholarGateمقایسهٔ روش‌ها: Data Envelopment Analysis (Productivity) · DEA. بازیابی‌شده در 2026-06-24 از https://scholargate.app/fa/compare